Hyperspectral remote sensing with the UAS "Stuttgarter Adler" - System setup, calibration and first results

Photogrammetrie, Fernerkundung, Geoinformation

Volumn 2014, Issue 4, 2014, Pages 265-274

  Büttner, Axel ^a   Röser, Hans Peter ^a  

^a UNIVERSITY OF STUTTGART   (Germany)

Author keywords

Calibration; Direct georeferencing; Hyperspectral; Remote sensing; Unmanned aerial system

Indexed keywords

EID: 84902159044     PISSN: 14328364     EISSN: None     Source Type: Journal    
DOI: 10.1127/1432-8364/2014/0217     Document Type: Article

References (18)

1. BRISSET, P., 2006: The Paparazzi solution. - European Micro Air Vehicle Conference and Flight Competition, EMAV 2006, Braunschweig.
2. BERNI, J., ZARCO-TEJADA, P. J., SUAREZ, L. & FERERES, E., 2009: Thermal and Narrowband Multispectral Remote Sensing for Vegetation Monitoring From an Unmanned Aerial Vehicle. - IEEE Transactions on Geoscience and Remote Sensing 47(3):722-738.
3. CHEN, H., 1997: Remote sensing calibration systems: An introduction. - Studies on geophysical optics and remote sensing, A. Deepak Publishing, Hampton, Virginia, USA.
4. COCKS, T., JENSSEN, R., STEWART, A., WILSON, I. & SHIELDS, T., 1998: The HyMap airborne hyperspectral sensor: The system, calibration and performance. - 1st EARSeL Workshop on Imaging Spectrometry: 37-42.
5. GREEN, R. O., EASTWOOD, M. L., SARTURE, C. M., CHRIEN, T. G., ARONSSON, M., CHIPPENDALE, B. J., FAUST, J. A., PAVRI, B. E., CHOVIT, C. J., SOLIS, M., OLAH, M. R. & WILLIAMS, O., 1998: Imaging spectroscopy and the airborne visible/infrared imaging spectrometer AV IRIS. - Remote Sensing of Environment 65(3):227-248.
6. HABOUDANE, D., TREMBLAY, N., MILLER, J. & VIGNEAULT, P., 2008: Remote estimation of crop chlorophyll content using spectral indices derived from hyperspectral data. - Geoscience and Remote Sensing, IEEE Transactions on 46(2):423-437.
7. H RUSKA, R., MITCHELL, J., ANDERSON, M. & GLENN, N. F., 2012: Radiometric and Geometric Analysis of Hyperspectral Imagery Acquired from an Unmanned Aerial Vehicle. - Remote Sensing 4(9):2736-2752.
8. KIRCHGAESSNER, U., 2013: Einsatz eines ferngesteuerten Kleinflugzeugs zur Erfassung von Umweltdaten. - Dissertation, University of Stuttgart.
9. KOERNER, F., 2012: Design of a Kalman Filter for Tightly Coupled GPS/INS Integration. - Diploma thesis, University of Stuttgart.
10. LIU, J., MILLER, J., HABOUDANE, D. & PATTEY, E., 2004: Exploring the relationship between red edge parameters and crop variables for precision agriculture. - IEEE International Geoscience and Remote Sensing Symposium 2:1276-1279.
11. MAYER, B. & KYLLING, A., 2005: Technical note: The libRadtran software package for radiative transfer calculations - description and examples of use. - Atmospheric Chemistry and Physics 5:1855-1877.
12. M IURA, T. & HUETE, A. R., 2009: Performance of Three Reflectance Calibration Methods for Airborne Hyperspectral Spectrometer Data. - Sensors 9(2):794-813.
13. PUTZE, U., 2013: Auslegung und Instrumentierung eines ferngesteuerten Kleinflugzeuges für die Erdbeobachtung. - Dissertation, University of Stuttgart.
14. SCHWARZBACH, M., 2012: Konstruktion und Erprobung eines Bodengerätes zur Messung der BRDF unter natürlichen Beleuchtungsbedingungen. - Dissertation, University of Stuttgart.
15. speCtral imaGinG ltd., 2008: ImSpector imaging spectrograph user manual.
16. WALLACE, L., LUCIEER, A., WATSON, C. & TURNER, D., 2012: Development of a UAV-LiDAR System with Application to Forest Inventory. - Remote Sensing 4(6):1519-1543.
17. ZARCO-TEJADA, P. J., GONZÁLEZ-DUGO, V. & BERNI, J. A. J., 2012: Fluorescence, temperature and narrow-band indices acquired from a UAV platform for water stress detection using a micro-hyperspectral imager and a thermal camera. - Remote Sensing of Environment 117:322-337.
18. ZARCO-TEJADA, P. J., GUILLÉN-CLIMENT, M. L., HERNÁANDEZ- CLEMENTE, R., CATALINA, A., GONZÁLEZ, M. R. & MARTÍN, P., 2013: Estimating leaf carotenoid content in vineyards using high resolution hyperspectral imagery acquired from an unmanned aerial vehicle (UAV). - Agricultural and Forest Meteorology 171-172:281-294.